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This is a github repo for tracking the research updates on semantic relation extraction and word embedding generation

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SemRelationExtraction

A simple model to learn relation embedding between words using an unlabelled corpus (ukWaC) and evaluated with 3 labeled datasets (BLESS, EVALuation1.0, EACL dataset for antonym and synonym distinction)

Steps:

Use the following steps to preprocess data, execute and evaluate the model.

    * Preprocess the Corpus [Go to /Preprocess]
    * Run the Model [Go  to /Model]
    * Perform the Evaluation [Go to /Evaluation]

    * For additional experiments [Go to /Extras]

Please use the following citation to refer to this work/dataset:

@article{chingacham2018generalizing,
  title={Generalizing Representations of Lexical Semantic Relations},
  author={Chingacham, Anupama and Paperno, Denis},
  journal={Computational Linguistics CLiC-it 2018},
  pages={111},
  year={2018}
}

References

   * How We BLESSed Distributional Semantic Evaluation [Baroni, Marco and Lenci, Alessandro]
   * EVALution 1.0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models [Santus, Enrico; Yung, Frances;  Lenci, Alessandro and Huang, Chu-Ren ]

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This is a github repo for tracking the research updates on semantic relation extraction and word embedding generation

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